Agent skill · Design & Presentation

pptx-grounding

Extract a structured evidence bundle from a .pptx deck, then write a real grounded.md from the bundle.

Yiming Zhao438★ · 1 repos on radarProfile →
cursorcan modify filesships scriptsMIT
Install
npx skills add gaotiexinqu/OneResearchClaw --skill pptx-grounding --agent cursor

Same command for any agent — swap --agent for claude-code, codex, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 8 KB
Bundled scripts: yes
Allowed tools: BashReadWriteEditGrepGlob
Path: .cursor/skills/pptx-grounding/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 438
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# PPTX Grounding This skill handles **PowerPoint (`.pptx`)** inputs in the any-input -> grounding -> downstream research / summary / report pipeline. Its job is **not** to write a polished final report. Its job is to produce a stable, structured, reusable **evidence bundle** for a deck. After that, the agent must read the bundle and write a real `grounded.md`. ## When to use this skill Use this sk

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About this skill
What does the pptx-grounding skill do?

Extract a structured evidence bundle from a .pptx deck, then write a real grounded.md from the bundle.

How do I install it?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill pptx-grounding --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gaotiexinqu/OneResearchClaw, a repository with 438 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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